82 citations · 88 across the 5 of their papers we have counts for
5 papers
Bayesian predictive inference when integrating a non-probability sample and a probability sample
Balgobin Nandram, JNK Rao
We consider the problem of integrating a small probability sample (ps) and a non-probability sample (nps). By definition, for the nps, there are no survey weights, but for the ps,…
Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling
Zhiqing Xu, Balgobin Nandram, Binod Manandhar
We present a robust Bayesian method to analyze forestry data when samples are selected with probability proportional to length from a finite population of unknown size. Specificall…
Bayesian Logistic Regression for Small Areas with Numerous Households
Balgobin Nandram, Lu Chen, Shuting Fu +1
We analyze binary data, available for a relatively large number (big data) of families (or households), which are within small areas, from a population-based survey. Inference is r…
Bayesian Predictive Inference For Finite Population Quantities Under Informative Sampling
Junheng Ma, Joe Sedransk, Balgobin Nandram +1
We investigate Bayesian predictive inference for finite population quantities when there are unequal probabilities of selection. Only limited information about the sample design is…
Small area estimation of general parameters with application to poverty indicators: A hierarchical Bayes approach
Isabel Molina, Balgobin Nandram, J. N. K. Rao
Poverty maps are used to aid important political decisions such as allocation of development funds by governments and international organizations. Those decisions should be based o…